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Get Free AccessPurpose The purpose of the study was to develop and psychometrically test the Caregiver Contribution to Self-Care of Diabetes Inventory (CC-SCODI), a new tool for assessing caregiver contribution to self-care in diabetes, among informal caregivers of patients with type 2 diabetes mellitus (T2DM). Methods A multicenter cross-sectional observational study was conducted. A total of 251 patients with T2DM and their informal caregivers were included. The CC-SCODI measures the caregiver contribution to patients’ self-care maintenance, self-care monitoring, and self-care management. It also assesses the caregiver self-efficacy in contributing to patient self-care. To evaluate dimensionality, a confirmative factor analysis was conducted. To evaluate reliability, the multidimensional model-based reliability index was estimated. To assess construct validity, associations between caregiver contribution to self-care maintenance, monitoring, and management and caregiver self-efficacy, caregiver burden, and dyadic care type were tested. Results A multidimensional structure emerged for caregiver contribution to self-care maintenance and monitoring scales, and a unidimensional structure emerged for caregiver contribution to self-care management and caregiver self-efficacy scales. All the reliability indices were higher than 0.70. Significant associations were found between caregiver contribution to self-care maintenance, monitoring, and management and caregiver self-efficacy, caregiver burden, and dyadic care type. Conclusions The CC-SCODI is suggested to be valid and reliable for assessing caregiver contribution to self-care in caregivers of patients with T2DM.
Diletta Fabrizi, Maddalena De Maria, Claudio Barbaranelli, Marta Aber Rizzo, Stefania Di Mauro, A. Giancaterini, Paola Rebora, Davide Ausili, Michela Luciani (2025). Development and Psychometric Testing of the Caregiver Contribution to Self-Care of Diabetes Inventory: An Observational Study Among Informal Caregivers of Patients With Type 2 Diabetes. , DOI: https://doi.org/10.1177/26350106251336309.
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Type
Article
Year
2025
Authors
9
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1177/26350106251336309
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